CN113628423A - Harmful gas concentration monitoring and alarming system - Google Patents
Harmful gas concentration monitoring and alarming system Download PDFInfo
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- CN113628423A CN113628423A CN202110956902.2A CN202110956902A CN113628423A CN 113628423 A CN113628423 A CN 113628423A CN 202110956902 A CN202110956902 A CN 202110956902A CN 113628423 A CN113628423 A CN 113628423A
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- G08B21/02—Alarms for ensuring the safety of persons
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Abstract
The invention discloses a harmful gas concentration monitoring and alarming system, which is characterized in that monitoring information of a monitored environment is acquired through an environment acquisition module, and the monitoring information comprises temperature data, humidity data, sound data and gas data of the monitored environment; the processing combination module receives the monitoring information and carries out processing operation to obtain temperature processing data, humidity processing data, sound processing data and gas processing data; the calculation analysis module receives the processed temperature processing data, humidity processing data, sound processing data and gas processing data, calculates and analyzes the data to obtain an analysis combination set, and sends the analysis combination set to the early warning prompt module through the data transmission module; the early warning prompting module carries out early warning and prompting on the monitored environment according to the analysis combination set; the invention discloses various aspects and solves the technical problems that the detection can be carried out only by a single gas detection instrument in the existing scheme, the detection efficiency is low and the reaction is slow.
Description
Technical Field
The invention relates to the technical field of gas monitoring, in particular to a harmful gas concentration monitoring and alarming system.
Background
The harmful gas is gas which has adverse effect on the health of people or animals, or has no effect on the health of people or animals, but causes people or animals to feel uncomfortable and affects the comfort of people or animals; they can be classified into primary pollutants, which are harmful substances directly emitted from pollution sources, such as sulfur dioxide, nitrogen oxides, carbon monoxide, hydrocarbons, etc., and secondary pollutants, which are classified according to their formation processes; the latter refers to new pollutants formed from the chemical reaction of primary pollutants in the atmosphere.
The existing harmful gas concentration monitoring and alarming system has the defects in use that: the detection can be carried out only by a single gas detection instrument, and the defects of low detection efficiency and slow response are overcome.
Disclosure of Invention
The invention aims to provide a harmful gas concentration monitoring and alarming system, which mainly aims to solve the technical problems that the detection can be carried out only by a single gas detection instrument in the existing scheme, the detection efficiency is low, and the reaction is slow.
The purpose of the invention can be realized by the following technical method: a harmful gas concentration monitoring and alarming system comprises an environment acquisition module, a data transmission module, a processing combination module, a calculation analysis module and an early warning prompt module;
the environment acquisition module is used for acquiring monitoring information of a monitored environment, and the monitoring information comprises temperature data, humidity data, sound data and gas data of the monitored environment; sending the monitoring information to a processing combination module through a data transmission module;
the processing combination module receives the monitoring information and carries out processing operation to obtain temperature processing data, humidity processing data, sound processing data and gas processing data, and the processed temperature processing data, humidity processing data, sound processing data and gas processing data are sent to the calculation analysis module through the data transmission module;
the calculation analysis module receives and calculates the processed temperature processing data, humidity processing data, sound processing data and gas processing data to obtain a temperature change coefficient, a humidity change coefficient, a sound change coefficient and a gas occupation coefficient, calculates and analyzes the temperature change coefficient, the humidity change coefficient, the sound change coefficient and the gas occupation coefficient to obtain an analysis combination set, and sends the analysis combination set to the early warning prompt module through the data transmission module;
and the early warning prompting module carries out early warning and prompting on the monitored environment according to the analysis combination set.
Further, the specific steps of receiving the monitoring information and performing the processing operation by the processing combination module include:
acquiring temperature data, humidity data, sound data and gas data in monitoring information;
acquiring different real-time temperatures in temperature data at different monitoring time points, respectively marking the different real-time temperatures, marking the real-time temperature at the beginning of monitoring as W1, marking the real-time temperature at the end of monitoring as W2, and combining the marked real-time temperatures to obtain temperature processing data;
acquiring different real-time humidities in humidity data at different monitoring time points, respectively marking the different real-time humidities, marking the real-time humidity at the beginning of monitoring as S1, marking the real-time humidity at the end of monitoring as S2, and combining the marked real-time humidities to obtain humidity processing data;
acquiring different real-time sound loudness in sound data at different monitoring time points, respectively marking the real-time sound loudness at the beginning of monitoring as X1, marking the real-time sound loudness at the end of monitoring as X2, and combining the marked real-time sound loudness to obtain sound processing data;
acquiring different gas concentrations in gas data at different monitoring time points, respectively marking the different gas concentrations, and marking the different gas concentrations when the monitoring is started as Qi, wherein i is 1,2.. n; marking the different gas concentrations at the end of the monitoring as Qij, i ═ 1,2.. n; n ═ 1,2.. n; the different gas concentrations of the markers are combined to obtain gas treatment data.
Further, the specific steps of receiving the processed temperature processing data, humidity processing data, sound processing data and gas processing data and calculating by the calculation and analysis module include:
acquiring the marked real-time temperature W1 for starting monitoring and the marked real-time temperature W2 for finishing monitoring in the temperature processing data, carrying out normalization processing on the marked real-time temperature and obtaining a value, and utilizing a formula
Calculating to obtain a temperature change coefficient; wherein WBX is represented by a temperature change coefficient, b1 is represented by a proportionality coefficient and is larger than zero, t1 is represented by the time length between the beginning of monitoring and the end of monitoring, alpha is represented by a preset temperature correction factor, and the value range is (0, 2);
acquiring the marked real-time humidity S1 for starting monitoring and the marked real-time humidity S2 for finishing monitoring in the humidity processing data, carrying out normalization processing on the marked real-time humidity and obtaining a value, and utilizing a formula
Calculating to obtain a wet change coefficient; wherein SBX is expressed as a wet change coefficient, b2 is expressed as a proportionality coefficient and is larger than zero, beta is expressed as a preset humidity correction factor, and the value range is (0, 2);
acquiring the real-time sound loudness X1 for starting monitoring and the real-time sound loudness X2 for finishing monitoring of the mark in the sound processing data, normalizing the real-time sound loudness of the mark and taking a value, and utilizing a formula
Calculating to obtain a sound variation coefficient; wherein YBX is represented as a sound variation coefficient, b3 is represented as a proportionality coefficient and is larger than zero, χ is represented as a preset sound correction factor, and the value range is (0, 2);
acquiring different gas concentrations Qi marked at the beginning of monitoring and different gas concentrations Qij marked at the end of monitoring in the gas data, carrying out normalization processing on the different gas concentrations marked and obtaining values, and utilizing a formula
Calculating to obtain a gas occupation coefficient; wherein QZX is expressed as a gas occupation coefficient, b4 is expressed as a proportionality coefficient and is larger than zero, and delta is expressed as a preset gas correction factor, and the value range is (0, 2).
Further, the specific steps of calculating and analyzing the temperature change coefficient, the humidity change coefficient, the acoustic change coefficient and the air account coefficient comprise:
acquiring a temperature coefficient WBX, a humidity coefficient SBX, a sound coefficient YBX and an air account coefficient QZX;
the matching value is calculated by using a formula
Wherein XP is expressed as a match value, a1, a2, a3 and a4 are expressed as different proportionality coefficients and are all greater than zero;
comparing and matching the analysis matching value with a preset analysis matching range, and if the analysis matching value is not larger than the minimum value of the analysis matching range, generating a first analysis signal; if the analysis matching value is larger than the minimum value of the analysis matching range and not larger than the maximum value of the analysis matching range, generating a second analysis signal; if the analysis matching value is larger than the maximum value of the analysis matching range, generating a third analysis signal;
and combining the analysis matching value with the first analysis signal, the second analysis signal and the third analysis signal to obtain an analysis combination set.
Further, the specific steps of the early warning and prompting module for early warning and prompting the monitoring environment according to the analysis combination set comprise:
receiving and analyzing the analysis combination set;
if the analysis combination set contains the second analysis signal, acquiring state information of the maintainers, arranging the maintainers to overhaul the monitored environment according to the state information of the maintainers and generating a first early warning prompt signal;
and if the analysis combination set contains the third analysis signal, arranging maintenance personnel to process and maintain the monitored environment according to the third analysis signal and generating a second early warning prompt signal.
The invention has the beneficial effects that:
in various aspects disclosed by the invention, monitoring information of a monitored environment is acquired by an environment acquisition module, wherein the monitoring information comprises temperature data, humidity data, sound data and gas data of the monitored environment; by collecting and analyzing the temperature, the humidity and the gas concentration, the timeliness and the accuracy of monitoring and early warning can be improved;
the processing combination module is used for receiving the monitoring information and carrying out processing operation to obtain temperature processing data, humidity processing data, sound processing data and gas processing data, and collected data are processed to standardize and standardize the data, so that the calculation efficiency among the data can be improved;
the temperature processing data, the humidity processing data, the sound processing data and the gas processing data after processing are received by the calculation and analysis module and calculated to obtain a temperature change coefficient, a humidity change coefficient, a sound change coefficient and a gas occupation coefficient, the temperature change coefficient, the humidity change coefficient, the sound change coefficient and the gas occupation coefficient are calculated and analyzed to obtain an analysis combination set, and all data are calculated and combined to establish a relation among all data to improve the relevance, so that the overall monitoring and analysis are facilitated, and effective data support is provided for monitoring harmful gas;
the early warning prompt module carries out early warning and prompt on the monitored environment according to the analysis combination set, can reasonably and effectively arrange optimal workers to carry out treatment, can improve the reaction speed, and can also improve the effect of harmful gas treatment.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a harmful gas concentration monitoring alarm system according to the present invention.
Detailed Description
The technical method in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the invention relates to a harmful gas concentration monitoring and alarming system, which comprises an environment acquisition module, a data transmission module, a processing combination module, a calculation analysis module and an early warning prompt module;
the environment acquisition module is used for acquiring monitoring information of a monitored environment, and the monitoring information comprises temperature data, humidity data, sound data and gas data of the monitored environment; sending the monitoring information to a processing combination module through a data transmission module;
according to the invention, the monitoring environment can be a warehouse or a factory for storing or transporting harmful gases, and when the harmful gases leak, whether the harmful gases are abnormal or not can be rapidly and accurately monitored by comprehensively analyzing the temperature, the humidity, the leaking sound and the concentration of the gases in the air.
The processing combination module receives the monitoring information and carries out processing operation to obtain temperature processing data, humidity processing data, sound processing data and gas processing data, and the specific steps comprise:
acquiring temperature data, humidity data, sound data and gas data in monitoring information;
acquiring different real-time temperatures in temperature data at different monitoring time points, respectively marking the different real-time temperatures, marking the real-time temperature at the beginning of monitoring as W1, marking the real-time temperature at the end of monitoring as W2, and combining the marked real-time temperatures to obtain temperature processing data;
acquiring different real-time humidities in humidity data at different monitoring time points, respectively marking the different real-time humidities, marking the real-time humidity at the beginning of monitoring as S1, marking the real-time humidity at the end of monitoring as S2, and combining the marked real-time humidities to obtain humidity processing data;
acquiring different real-time sound loudness in sound data at different monitoring time points, respectively marking the real-time sound loudness at the beginning of monitoring as X1, marking the real-time sound loudness at the end of monitoring as X2, and combining the marked real-time sound loudness to obtain sound processing data;
acquiring different gas concentrations in gas data at different monitoring time points, respectively marking the different gas concentrations, and marking the different gas concentrations when the monitoring is started as Qi, wherein i is 1,2.. n; marking the different gas concentrations at the end of the monitoring as Qij, i ═ 1,2.. n; n ═ 1,2.. n; combining the marked different gas concentrations to obtain gas processing data; the processed temperature processing data, humidity processing data, sound processing data and gas processing data are sent to a calculation analysis module through a data transmission module;
the calculation analysis module receives and calculates the processed temperature processing data, humidity processing data, sound processing data and gas processing data to obtain a temperature change coefficient, a humidity change coefficient, a sound change coefficient and a gas occupation coefficient, and the specific steps comprise:
acquiring the marked real-time temperature W1 for starting monitoring and the marked real-time temperature W2 for finishing monitoring in the temperature processing data, carrying out normalization processing on the marked real-time temperature and obtaining a value, and utilizing a formula
Calculating to obtain a temperature change coefficient; wherein WBX is expressed as a temperature change coefficient, b1 is expressed as a proportionality coefficient and is greater than zero, t1 is expressed as a duration between the beginning of monitoring and the end of monitoring, α is expressed as a preset temperature correction factor, and the value can be 0.29145;
acquiring the marked real-time humidity S1 for starting monitoring and the marked real-time humidity S2 for finishing monitoring in the humidity processing data, carrying out normalization processing on the marked real-time humidity and obtaining a value, and utilizing a formula
Calculating to obtain a wet change coefficient; wherein, SBX is expressed as a wet change coefficient, b2 is expressed as a proportionality coefficient and is greater than zero, β is expressed as a preset humidity correction factor, and the value can be 0.85416;
acquiring soundThe real-time sound loudness X1 for starting monitoring and the real-time sound loudness X2 for finishing monitoring of the marks in the sound processing data are normalized and taken, and the real-time sound loudness of the marks is calculated by a formula
Calculating to obtain a sound variation coefficient; wherein YBX is represented by a sound variation coefficient, b3 is represented by a proportionality coefficient and is greater than zero, χ is represented by a preset sound correction factor, and the value can be 0.92541;
acquiring different gas concentrations Qi marked at the beginning of monitoring and different gas concentrations Qij marked at the end of monitoring in the gas data, carrying out normalization processing on the different gas concentrations marked and obtaining values, and utilizing a formula
Calculating to obtain a gas occupation coefficient; wherein QZX is expressed as a gas occupation coefficient, b4 is expressed as a proportionality coefficient and is greater than zero, δ is expressed as a preset gas correction factor, the value can be 0.66245, and the temperature change coefficient, the humidity change coefficient value, the acoustic change coefficient and the gas occupation coefficient are calculated and analyzed to obtain an analysis combination set, and the specific steps include:
acquiring a temperature coefficient WBX, a humidity coefficient SBX, a sound coefficient YBX and an air account coefficient QZX;
the matching value is calculated by using a formula
Wherein XP is expressed as a match value, a1, a2, a3 and a4 are expressed as different proportionality coefficients and are all greater than zero;
comparing and matching the analysis matching value with a preset analysis matching range, and if the analysis matching value is not larger than the minimum value of the analysis matching range, generating a first analysis signal; if the analysis matching value is larger than the minimum value of the analysis matching range and not larger than the maximum value of the analysis matching range, generating a second analysis signal; if the analysis matching value is larger than the maximum value of the analysis matching range, generating a third analysis signal;
combining the analysis matching value with the first analysis signal, the second analysis signal and the third analysis signal to obtain an analysis combination set; sending the analysis combination set to an early warning prompt module through a data transmission module;
in the invention, the first analysis signal indicates that the whole monitoring environment is normal without prompting; the second analysis signal represents that the monitoring environment has slight leakage and needs early warning prompt and arrangement of personnel for maintenance; the third analysis signal represents that the monitoring environment has leakage and maintenance personnel need to be arranged for maintenance immediately;
the early warning prompt module carries out early warning and prompt on the monitored environment according to the analysis combination set, and the specific steps comprise:
receiving and analyzing the analysis combination set;
if the analysis combination set contains the second analysis signal, acquiring state information of the maintainers, arranging the maintainers to overhaul the monitored environment according to the state information of the maintainers and generating a first early warning prompt signal;
and if the analysis combination set contains the third analysis signal, arranging maintenance personnel to process and maintain the monitored environment according to the third analysis signal and generating a second early warning prompt signal.
Example two
Acquire maintainer's status information, arrange the maintainer to overhaul the monitoring environment according to maintainer's status information, concrete step includes:
acquiring the working state, the working age, the overhaul frequency and the real-time coordinate in the state information, setting different working states to correspond to different worker-shaped preset values, matching the working states in the state information with all the working states to acquire the corresponding worker-shaped preset values, and marking the worker-shaped preset values as D1; acquiring a numerical value of the working age and marking the numerical value as D2; acquiring a numerical value in the overhaul times and marking the numerical value as D3; acquiring a linear distance between the real-time coordinate system and the monitored environment and marking the linear distance as D4;
carrying out normalization processing on each marked data and taking values, and calculating by using a formula to obtain a sorting value
Wherein FJ is expressed as a sorting value, and c1, c2 and c3 are expressed as different scale factors and are all larger than zero;
the sorting values are arranged in a descending order, the largest sorting value is marked as the selected sorting value, the maintainers corresponding to the selected sorting value are marked as the selected persons, the selected persons are informed to overhaul the monitored environment, the abnormity can be quickly processed, and the effect of harmful gas treatment is improved.
The formulas in the embodiment of the invention are all a formula which is obtained by removing dimensions and taking numerical value calculation, software simulation is carried out by collecting a large amount of data to obtain the formula closest to the real condition, and the preset proportionality coefficient and the threshold value in the formula are set by technicians in the field according to the actual condition or are obtained by simulating a large amount of data.
The functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (5)
1. A harmful gas concentration monitoring and alarming system is characterized by comprising an environment acquisition module, a data transmission module, a processing combination module, a calculation analysis module and an early warning prompt module;
the environment acquisition module is used for acquiring monitoring information of a monitored environment, and the monitoring information comprises temperature data, humidity data, sound data and gas data of the monitored environment; sending the monitoring information to a processing combination module through a data transmission module;
the processing combination module receives the monitoring information and carries out processing operation to obtain temperature processing data, humidity processing data, sound processing data and gas processing data, and the processed temperature processing data, humidity processing data, sound processing data and gas processing data are sent to the calculation analysis module through the data transmission module;
the calculation analysis module receives and calculates the processed temperature processing data, humidity processing data, sound processing data and gas processing data to obtain a temperature change coefficient, a humidity change coefficient, a sound change coefficient and a gas occupation coefficient, calculates and analyzes the temperature change coefficient, the humidity change coefficient, the sound change coefficient and the gas occupation coefficient to obtain an analysis combination set, and sends the analysis combination set to the early warning prompt module through the data transmission module;
and the early warning prompting module carries out early warning and prompting on the monitored environment according to the analysis combination set.
2. The harmful gas concentration monitoring and alarming system of claim 1, wherein the specific steps of receiving the monitoring information and performing the processing operation by the processing combination module comprise:
acquiring temperature data, humidity data, sound data and gas data in monitoring information; acquiring different real-time temperatures in the temperature data at different monitoring time points and respectively marking to obtain temperature processing data; acquiring different real-time humidities in humidity data at different monitoring time points, and respectively marking to obtain humidity processing data; acquiring different real-time sound loudness in sound data at different monitoring time points, and respectively marking the loudness to obtain sound processing data; and acquiring different gas concentrations in the gas data at different monitoring time points, and marking the gas concentrations respectively to obtain gas processing data.
3. The harmful gas concentration monitoring and alarming system of claim 1, wherein the specific steps of receiving and calculating the processed temperature processing data, humidity processing data, sound processing data and gas processing data by the calculation and analysis module comprise:
acquiring real-time temperature W1 for starting monitoring and real-time temperature W2 for finishing monitoring in temperature processing data, carrying out normalization processing on the marked real-time temperature and taking a value, and utilizing a formula
Calculating to obtain a temperature change coefficient; wherein WBX is expressed as a temperature change coefficient, b1 is expressed as a proportionality coefficient and is greater than zero, t1 is expressed as a time length between the beginning of monitoring and the end of monitoring, and α is expressed as a preset temperature correction factor;
acquiring real-time humidity S1 for starting monitoring and real-time humidity S2 for finishing monitoring in humidity processing data, carrying out normalization processing on the marked real-time humidity and obtaining a value, and utilizing a formula
Calculating to obtain a wet change coefficient; wherein SBX is expressed as a wet change coefficient, b2 is expressed as a proportionality coefficient and is greater than zero, and beta is expressed as a preset humidity correction factor;
acquiring real-time sound loudness X1 for starting monitoring and real-time sound loudness X2 for finishing monitoring in sound processing data, carrying out normalization processing on the marked real-time sound loudness and obtaining values, and utilizing a formula
Calculating to obtain a sound variation coefficient; wherein YBX is represented by a sound variation coefficient, b3 is represented by a proportionality coefficient and is larger than zero, and χ is represented by a preset sound correction factor;
acquiring different gas concentrations Qi beginning to be monitored and different gas concentrations Qij ending to be monitored in the gas data, carrying out normalization processing on the marked different gas concentrations and obtaining values, and utilizing a formula
Calculating to obtain a gas occupation coefficient; wherein QZX is expressed as a gas occupancy coefficient, b4 is expressed as a proportionality coefficient and is greater than zero, and δ is expressed as a preset gas correction factor.
4. The harmful gas concentration monitoring alarm system according to claim 1, wherein the specific steps of performing calculation analysis on the temperature change coefficient, the humidity change coefficient value, the acoustic change coefficient and the gas occupation coefficient comprise:
the matching value is calculated by using a formula
Wherein XP is expressed as a match value, a1, a2, a3 and a4 are expressed as different proportionality coefficients and are all greater than zero;
comparing and matching the analysis matching value with a preset analysis matching range, and if the analysis matching value is not larger than the minimum value of the analysis matching range, generating a first analysis signal; if the analysis matching value is larger than the minimum value of the analysis matching range and not larger than the maximum value of the analysis matching range, generating a second analysis signal; if the analysis matching value is larger than the maximum value of the analysis matching range, generating a third analysis signal;
and combining the analysis matching value with the first analysis signal, the second analysis signal and the third analysis signal to obtain an analysis combination set.
5. The harmful gas concentration monitoring and alarming system of claim 1, wherein the specific steps of the early warning and prompting module for early warning and prompting the monitored environment according to the analysis combination set comprise:
receiving and analyzing the analysis combination set; if the analysis combination set contains the second analysis signal, acquiring state information of the maintainers, arranging the maintainers to overhaul the monitored environment according to the state information of the maintainers and generating a first early warning prompt signal;
and if the analysis combination set contains the third analysis signal, arranging maintenance personnel to process and maintain the monitored environment according to the third analysis signal and generating a second early warning prompt signal.
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| CN116559376B (en) * | 2023-05-26 | 2024-01-30 | 广东雅建建设科技股份有限公司 | Indoor environment state monitoring system for decoration engineering |
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Denomination of invention: A Harmful Gas Concentration Monitoring and Alarm System Effective date of registration: 20230518 Granted publication date: 20230103 Pledgee: Qianshan Anhui rural commercial bank Limited by Share Ltd. Pledgor: ANHUI ZHONGNAN AIR DEFENCE WORKS PROTECTIVE EQUIPMENT Co.,Ltd. Registration number: Y2023980041024 |